OHH my god this is soo awesome, I wonder how people build such things.
0 karma · joined June 6, 2026
Remote: Yes
Willing to relocate: Yes (Visa sponsorship required) Technologies: Go, Rust, Python, C, TypeScript, Docker, RocksDB, gRPC
CV: Available upon request / via email
Email: contact.dawood@proton.me
GitHub: https://github.com/Nurysso
I am a systems and ML infrastructure engineer obsessed with making LLM-powered tools performant, predictable, and reliable at scale.
Featured Project: Eulix: Built a production-grade code intelligence system (Rust parser, Python embedder, Go query engine). It parses 26M lines of code into ASTs and custom call graphs in less than 60 seconds, serving sub-300ms multi-level retrieval queries at 1.5x RAM (~2GB) with 98% retrieval accuracy.
What I bring: Deep Infrastructure Optimization: Experienced in designing custom binary formats, optimizing inference serving pipelines, and debugging platform-specific runtime issues (e.g., ROCm/HIP on AMD hardware). Open Source Contributor: Contributed non-obvious bug fixes to major upstream projects like Gin-Gonic and Canonical/Pebble. Other Projects: Built Vanish (Go-based modern rm alternative with a TUI) and Tyr (Rust-based ML file organizer).
Looking to join an engineering-first team tackling hard infrastructure problems at the intersection of systems programming and AI.
Remote: Fine by me
Willing to relocate: YESSS
Technologies: Rust, Golang, Python, C, shell, Linux Kernel, MYSQL/MariaDB
Something About me: I believe in fast and secure code best example where I showcased it on eulix(recent OSS project), its a code analysis tool to speed up onboarding of devs and understanding legacy code by using parsed ast+embeddings+source code, right now it can parse linux kernel source code 26m loc in just a min retrival accuracy is 90+ and answer accuracy depends upon llm used.
Résumé/CV: Available upon request
Github: https://github.com/Nurysso
Portfolio: www.dawood.page
Email: nurysso@proton.me